Department of Information & Communication Systems Engineering
University of the Aegean

Department of Information
& Communication Systems Engineering

Information & Communication Systems Security
Information Systems
Artificial Intelligence
Computer & Communication Systems
Geometry, Dynamical Systems & Cosmology
Algorithms and Complexity

Title: Algorithms and Complexity
Lesson Code: 321-4201
Semester: 4
Theory Hours: 4
Lab Hours: 2
Faculty: Kaporis Alexios
External Website
Content outline

Combinatorial optimization problems. Divide-conquer algorithms. FFT. Dynamic programming. Greedy algorithms. Graph algorithms. Minimal spanning trees & algorithms. Maximum flow. Randomized algorithms. Approximation algorithms.

Learning outcomes

Knowledge of the most important algorithms of the theory of computation and experimental validation of their performance.

Not required.
Basic Textbooks

1. Algorithm Design, Jon Kleinberg, Eva Tardos.
2. Algorithms, Sanjou Dasgupta, Christos Papadimitriou, Umesh Vazirani.
3. Introduction to Algorithms by Cormen , Leiserson, Rivest and Stein.

Additional References

Algorithmica, Springer

Learning Activities and Teaching Methods

Lectures with slides. Use of optimization software as maple. The lectures are written in videos to help the understanding. Experimental validation of all algorithms in the lab areas.

Assessment/Grading Methods
Activity Semester workload
Lectures 52 hours
Laboratory Exercises 26 hours
Personal study 43 hours
Πρόοδος 1 hour
Final exams 3 hours
Course total 125 hours (5 ECTS)
Language of Instruction
Greek, English (for Erasmus students)
Μode of delivery


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